Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5208
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dc.contributor.authorKumar, Laliten
local.source.editorEditor(s): Ade Komara Mulyana, Gatot Haryo Pramono, Antonius B Wijanarto, Adi Junjunan Mustafa, Sri Lestari Munajati, Dian Ardiansyah, Murdaningsihen
dc.date.accessioned2010-03-18T16:37:00Z-
dc.date.issued2009-
dc.identifier.citationProceedings of the 10th SEASC: South East Asian Survey Congress: Integrating Geo-Information Islands, p. 311-315en
dc.identifier.isbn9789792669534en
dc.identifier.urihttps://hdl.handle.net/1959.11/5208-
dc.description.abstractIncoming solar radiation is modified as it travels through the atmosphere and is further modified by topography and surface features. Since radiation can be greatly affected by topography and surface features, a key component of the calculation algorithm requires the generation of an upward-looking hemispherical viewshed for every location in the digital elevation model (DEM). This is one of the reasons why GIS based solar radiation models are increasing in popularity. ARCGIS 9.3 has a solar radiation calculation tool based on the models developed by Fu and Rich (2000, 2002). Solar radiation is a critical driver of many processes on the earth’s surface. GIS-based solar radiation models allow us to take into account, on a fine scale, the complexity of the interactions between the incident solar radiation and the local topography. Such models provide rapid, cost-efficient and accurate estimations of radiation over large areas, while considering slope and aspect gradients, and shadowing effects. To test the performance of the ARCGIS based solar radiation model we obtained data for 4 different sites in Australia and compared this data with modelled radiation using DEMs from these same sites. This paper discusses the correlation between the modelled radiation and the actual recorded data and presents methods of developing regression equations that can be used to convert modelled radiation for use in other environmental models that utilize field recorded solar radiation data. Our analysis of daily meteorological records spanning eight years for a number of stations around Australia show that the correlations between recorded and ARCGIS modelled radiation are quite high (as high as 0.99 for some stations) and that, with sufficient screening, modelled data can safely be converted and used in environmental models that require actual field data.en
dc.languageenen
dc.publisherNational Coordinating Agency for Surveys and Mappingen
dc.relation.ispartofProceedings of the 10th SEASC: South East Asian Survey Congress: Integrating Geo-Information Islandsen
dc.titleA Comparison of ARCGIS modelled and ground recorded solar radiation data and opportunities for utilisation in environmental modelsen
dc.typeConference Publicationen
dc.relation.conferenceSEASC 2009: 10th South East Asian Survey Congress: Integrating Geo-Information Islandsen
dc.subject.keywordsNatural Resource Managementen
local.contributor.firstnameLaliten
local.subject.for2008050209 Natural Resource Managementen
local.subject.seo2008960504 Ecosystem Assessment and Management of Forest and Woodlands Environmentsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaillkumar@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100118-100528en
local.date.conference4th - 7th August, 2009en
local.conference.placeNusadua, Balien
local.publisher.placeBali, Indonesiaen
local.format.startpage311en
local.format.endpage315en
local.peerreviewedYesen
local.contributor.lastnameKumaren
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.identifier.unepublicationidune:5326en
dc.identifier.academiclevelAcademicen
local.title.maintitleA Comparison of ARCGIS modelled and ground recorded solar radiation data and opportunities for utilisation in environmental modelsen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.seasc2009.org/en
local.conference.detailsSEASC 2009: 10th South East Asian Survey Congress: Integrating Geo-Information Islands, Nusadua, Bali, 4th - 7th August, 2009en
local.search.authorKumar, Laliten
local.uneassociationUnknownen
local.year.published2009en
local.date.start2009-08-04-
local.date.end2009-08-07-
Appears in Collections:Conference Publication
School of Environmental and Rural Science
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